Studijski program

Statistics (146038)

ECTS bodovi 3.00
Sati nastave 30
Predavanja 20
Vježbe u praktikumu 10
Izvođač predavanja
doc. dr. sc. Biserka Kolarec
Izvođač vježbi
doc. dr. sc. Biserka Kolarec
Dovoljan (2) 60-69 %
Dobar (3) 70-79 %
Vrlo dobar (4) 80-89 %
Izvrstan (5) 90-100%

Nositelj predmeta

doc. dr. sc. Biserka Kolarec
doc. dr. sc. Biserka Kolarec

Opis predmeta

The course includes the elements of statistical inference and metodologies for data analysis: comparing two and more populations, analysis of variance, simple and multiple regresion, time series analysis and factor analysis to the data gained from the environmental studies.

Vrsta predmeta

Opće kompetencije

- raising the level of statistical literacy
- acquiring knowledge and skills necessary to understand, analyze and solve problems arising in the course of practical work in environmental studies
- developing the ability to critically assess and interpret statistical data and to avoid common pitfalls
- using statistical software with confidence

Oblici nastave

  • Auditory Exercises
  • Lectures
    mastering statistical methods through concrete problems from environmental studies
  • Other forms of group or individual learning
  • Practicum
    on computers using relevant software packages

Ishodi učenja i način provjere

Ishod učenja Način provjere
ability to compare two or more populations, construct confidence intervals and test hypothesis concerning them Homework, practical work, exam
do analysis of variance using ANOVA test project
do modeling with simple and multiple regression including using the obtained models for prediction homework, individual work
get familiar with time series models, determination of linear trend in time series analysis and seasonal and cyclical effects, using models for prediction homework, project task, exam
understanding the basic principles of factor analysis homework, exam

Način rada

Obaveze nastavnika

1. Course planning
2. Selection and creation of teaching materials
3. Evaluation of course, teaching materials and curriculum
4. Construct tests
5. Grade students on the basis of their achievement

Obaveze studenta

1. Attend lectures regularly
2. Do homeworks and participate actively during lectures
3. Write tests and win at least 25% of points on each test to get the signature
4. Do individual projects

Polaganje ispita

Elementi praćenja Maksimalno bodova ili udio u ocjeni Bodovna skala ocjena Ocjena Broj sati izravne nastave Ukupni broj sati rada prosječnog studenta ECTS bodovi
1st exam 50 % 14 20 1
2nr exam 25 % 8 20 1
3rd exam 25 % 8 20 1
activity >10 %
Total 100 % 30 60 3

Tjedni plan nastave

  1. Short repetition L - normal distribution, interval estimations, testing hypothesis.
  2. Comparing two populations L - types of samples, interval estimations and hypothesis testing about the difference between two population means
  3. Comparing two populations L -interval estimations and hypothesis testing about the difference between two population proportions.
  4. Comparing two populations E - excercises on comparing two populations.
  5. Analysis of variance L - analysis of variance: F-distribution, ANOVA test, conditions on applicability.
  6. Analysis of variance E - the use of ANOVA test.
  7. Linear regression L - simple linear regression, least squre line, linear correlation.
  8. Linear regression L+E - multiple regression.
  9. Linear regression E - excercises on regression.
  10. Time series analysis L - components, models.
  11. Time series analysis L - determination of linear trend, seasonal and cyclical effects.
  12. Time series analysis E - exercises on concrete dana.
  13. Factor analysis L - Method of common factors, standardizing variables.
  14. Factor analysis L - correlation matrix, identifying factors, common and individual factors.
  15. Factor analysis E - excercises on factor analysis.

Obvezna literatura

  1. M. Dekking, C. Kraaikamp, H. P. Lopuhaa, L. E. Meester: Modern introduction to probability and statistics: understanding why and how, Springer Verlag, London, 2005.
  2. Richard A. Johnson, Dean W. Wichern: Applied Multivariate Statistical Analysis(6th Edition), Pearson Prentice Hall, 2007.
  3. G. van Belle: Statistical Rules of Thumb, Willey-Interscience, 2002.
  4. P.S. Mann: Statistics for Business and Economics, J. Wiley, N. Y., 1995.

Preporučena literatura

  1. P. Kline: An Easy Guide to Factor Analysis, Routledge, London and New York, 2008.
  2. D. R. Nielsen, O. Wendroth: Spatial and Temporal Statistics, Catena Verlag, 2003.

Sličan predmet na srodnim sveučilištima

  • Matematik und Statistik, BOKU
  • Statistik, University of Hohenheim